Computer Science undergraduate specializing in Artificial Intelligence with experience in Machine Learning, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). Passionate about AI, cybersecurity, and intelligent automation with hands-on experience developing document intelligence platforms and cyber threat analysis tools.
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Programming: Python, C
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AI/ML: Machine Learning, Retrieval-Augmented Generation (RAG), Prompt Engineering, LangChain, Google Gemini
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Tools: Streamlit, ChromaDB, Git, GitHub
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Concepts: Cyber Threat Intelligence, Vector Databases, AI Fundamentals, Cybersecurity Fundamentals
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ThreatIntel Agent: Autonomous Cyber Threat Intelligence Dashboard using Python, Streamlit, and Gemini. Integrated the MITRE ATT&CK framework to generate automated threat analysis and mitigation recommendations.
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IntelliDocs: RAG-based document intelligence platform using LangChain, ChromaDB, and Google Gemini. Enabled semantic PDF querying through vector embeddings for context-aware information retrieval.
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X-Debug: AI-based debugging assistant that explains programming errors in beginner-friendly language and suggests contextual code improvements using LLMs.
